Journal
of
Agricultural,
Biological, and
Environmental
Statistics
A journal of applied statistics.
Published by the American Statistical Association and the International
Biometric Society.
|
Journal of Agricultural, Biological, and Environmental Statistics, Vol. 3, No.
4, pp. 359-369
Optimal Sample Size for Detection of an Infestation
Neil C. Schwertman and David K. Smith
Infestations are a major hazard in agriculture and a significant
concern in other biological and medical settings. Early detection allows
for containment and eradication. An optimum strategy to minimize the
economic impact is suggested. Four probability models for analysis of cost
are proposed for finite and infinite populations which are used to find
the optimal strategy to minimize the economic impact of a
potential infestation.
Key Words
Bayesian; Cost function; Decision theory; Sequential sampling.
Neil C.
Schwertman is Professor, Department of Mathematics and Statistics, California State University, Chico, CA
95929-0525 (E-mail: nschwertman@oavax.csuchico.edu). David K. Smith is Chair, Department of Agricultural Economics, California State University, Fresno,
CA.
Copyright © 2007 American Statistical Association and the International Biometric
Society.
All rights reserved.
Copyright © 1998 American Statistical Association and the International
Biometric Society. All rights reserved.
